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| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Monitor and optimize AI solutions - Plan security and compliance requirements |
| Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement natural language processing solutions - Implement generative AI solutions using Azure OpenAI |
1. Hotspot Question
You are using Python SDK to develop a containerized AI application that retrieves the value of a runtime setting stored in an Azure App Configuration resource. The application will run in Azure in the security context of a managed identity.
The application must work in a local development environment without any code changes.
You need to complete the code that implements the retrieval.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
2. A large retail company operates online and physical stores. The company tracks inventory levels in real time to manage stock efficiently across all locations. You develop an Azure Event Grid solution to handle events generated by the inventory management system deployed to Azure.
You need to implement a subscription filter that dynamically adjusts to seasonal changes in product demand.
Which event filter should you use?
A) A static subject filter that targets events with a subject ending in "/seasonal/inventory"
B) A prefix filter on the event type field that matches the current season's name
C) A subscription filter that uses a label filter to include events tagged with seasonal promotional codes
D) An advanced filter using a Boolean condition that evaluates multiple data fields, including a season field within the event data
3. Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?
A) Truncate all history after 2 turns
B) Store history only in the client and never send it to the model
C) Summarize older turns and retain recent turns verbatim
D) Increase max_tokens for output only
4. A container in an AKS cluster repeatedly restarts.
Pod events show probe failures, although node-level CPU and memory metrics are normal.
You need to diagnose the cause of the repeating restarts.
What should you do first?
A) Decrease the initialDelaySeconds for the container liveness probe.
B) Inspect the pod events and container logs.
C) Drain and reboot the node hosting the pod.
D) Scale the deployment to more replicas.
5. Hotspot Question
You are developing an application that uses a Python API to perform similarity queries against Azure Database for PostgreSQL. The application creates a new database connection for every request.
During peak traffic, the application intermittently fails to open new database sessions. Logs indicate that the maximum number of connections have been reached.
You need to configure the connection pooling strategy to reduce connection setup overhead and maximize reuse for the high-concurrency workload.
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Solutions:
| Question # 1 Answer: Only visible for members | Question # 2 Answer: D | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: Only visible for members |
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